摘要
为了更好地保护图像版权信息,本工作结合超混沌系统和RBF神经网络,提出一种基于超混沌的RBF神经网络模型加密算法,根据JND(最小可视觉误差)模型实现水印的自适应嵌入,并应用RBF神经网络进行水印信息盲检测。实验研究表明:该算法复杂度较低、容易实现,并且具有良好的安全性、不可感知性和鲁棒性。
In order to better protect the image copyright,this paper proposes a new algorithm based on hyper-chaotic and RBF neural network model encryption algorithm,which is based on JND(minimum visual error)model to realize adaptive embedding of watermark,using RBF neural network to realize blind detection of watermark information.Experimental results show that the algorithm is low in complexity,easy to implement.And it also has good security,imperceptibility and robustness.
引文
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